With the advent of social media and the rise of mobile as the platform of choice for end-user applications, people data is becoming the most valuable commodity in town where we now have an opportunity to capture human context, at a global level and as its happening, and generate insights that will completely transform the human digital experience. However, this assumes that we can effectively model and analyse this data. This is frequently not the case where we are faced with social silos that speak a completely different language both in terms of the APIs they expose and the semantics of the underlying network. If we want to truly leverage the data that is being laid down by these new generation of people-centric applications and services, then we need to address these interoperability issues, not least of all the semantics of human interaction.
Marie is currently an analytics strategist for IBM, having spent more than a decade in the research and development division building content, semantic and social analytics technologies which today underpin such solutions as IBM Watson. In recent years her primary focus has been on the analysis of people networks to deliver smarter, personalized and contextualized solutions for individuals and organizations.
Marie sit on advisory boards for the Digital Repository of Ireland at the Royal Irish Academy, and the Digital Arts & Humanities PhD Program at Trinity College Dublin.
She is a globally recognized thought leader, with an active social media presence and popular blog, AllThingsAnalytics.com.
